Pricing

from $1.00 / 1,000 results

Huggingface Models

Scrape model metadata from HuggingFace Hub — the largest open-source ML model registry. Get downloads, likes, trending scores, licenses, tags, and architecture info for 1M+ models. Filter by task type, ML library, or author. Uses the official HF API — no auth required.

Pricing

from $1.00 / 1,000 results

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0.0

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Developer

David Flagg

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Bookmarked

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Monthly active users

4 days ago

Last modified

HuggingFace Models Scraper

Scrape model metadata from HuggingFace Hub — the largest open-source ML model registry with 1M+ models.

What it does

Fetches model data from the HuggingFace API including:

Identifiers: model ID, author/org, model name
Popularity: download count, likes, trending score
Metadata: task type (text-generation, image-classification, etc.), ML library, model architecture, license
Timestamps: creation date, last modified
Tags: filtered model tags (framework, task, format markers)
Access: public/private, gated status

Use cases

Track trending AI models — monitor what's gaining traction on HuggingFace
Compare model popularity — downloads, likes, and trending scores across models
Filter by task — find all text-generation, text-to-image, speech recognition models, etc.
Monitor organizations — track new releases from Meta, Google, Mistral, Qwen, etc.
License auditing — filter models by license for commercial use
Market research — understand which ML frameworks and architectures are most popular

Input options

Parameter	Description	Default
Search Query	Search model names and descriptions	(empty)
Author / Organization	Filter by HuggingFace username or org	(empty)
Task Type	Filter by ML task (text-generation, image-classification, etc.)	Any
ML Library	Filter by framework (transformers, diffusers, gguf, etc.)	(empty)
Sort By	Trending, Most Downloads, Most Likes, Recently Updated, or Newest	Trending
Max Results	Maximum number of models to return (0 = unlimited)	100

Example output

{
  "model_id": "meta-llama/Llama-4-Scout-17B-16E-Instruct",
  "author": "meta-llama",
  "model_name": "meta-llama/Llama-4-Scout-17B-16E-Instruct",
  "pipeline_tag": "text-generation",
  "library_name": "transformers",
  "model_type": "llama4",
  "tags": ["safetensors", "llama4", "text-generation", "conversational", "en", "de", "fr", "..."],
  "downloads": 2847291,
  "likes": 1205,
  "trending_score": 482,
  "license": "llama4",
  "created_at": "2026-02-05T18:01:22.000Z",
  "last_modified": "2026-03-10T15:22:47.000Z",
  "private": false,
  "gated": false,
  "url": "https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct",
  "fetched_at": "2026-03-13T12:00:00.000000+00:00"
}

Notes

Uses the official HuggingFace Hub API (no scraping or authentication required)
Paginates automatically for large result sets
All sort orders are descending (most popular / newest first)
Tags are filtered to remove internal metadata (region, dataset references, arxiv links)

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